Algorithms for closeness, additional closeness and residual closeness

C. Dangalchev
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引用次数: 1

Abstract

The residual and additional closeness are very important characteristics of graphs. They are measures of graphs’ vulnerability and growth potentials. Calculating the closeness, the residual, and the additional closeness of graphs is a difficult computational problem. In this article we propose an algorithm for additional closeness and an approximate algorithm for closeness. Calculating the residual closeness of graphs is the most difficult of the three closenesses. We use Branch and Bound like algorithms to solve this problem. In order for the algorithms to be effective, we need good upper bounds of the residual closeness. In this article we have calculated upper bounds for the residual closeness of 1-connected graphs. We use these bounds in combination with the approximate algorithm to calculate the residual closeness of 1connected graphs. We have done experiments with randomly generated graphs and have calculated the decrement in steps, delivered by the proposed algorithm.
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接近度、附加接近度和剩余接近度的算法
图的残差和附加接近度是图的重要特征。它们是衡量图表脆弱性和增长潜力的指标。计算图的接近度、残差和附加接近度是一个困难的计算问题。在本文中,我们提出了一种附加接近度算法和一种近似接近度算法。图的残差接近度的计算是三种接近度中最难的。我们使用类似分支定界的算法来解决这个问题。为了使算法有效,我们需要良好的残差接近度上界。在本文中,我们计算了1连通图的残差紧密度的上界。我们将这些边界与近似算法结合使用来计算1连通图的残差紧密度。我们对随机生成的图进行了实验,并计算了所提出算法所带来的步减量。
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